The place of many faces : the images of a university in contemporary literature
Bibliographic record
Abstract
The article shows the university as an institution, as well as a place where one gains experience, in the optics of contemporary autobiographical novels: Lost in translation by Eva Hoffman, "My zdies’ emigranty" by Manuela Gretkowska, and a novel "The Ministry of Pain" by Dubravka Ugresić, in which there are some signs of autobiographical inspirations. Even though the university is not a very important place for the action of the mentioned books, it is significant for the characters. For Hoffman, American universities (firstly Rice, then Cambridge) were the places, where she felt comfortable, not as a stranger (as she did most of her life in Canada). For Gretkowska the university had only an official, institutional image: it constricted her scientific interests by the major she chose, so she needed to find some consensus in her life. The most complicated situation was the one of Tanja Lucić - the main character of "The Ministry of Pain". For her, official relations mixed up with the private ones, and personal problems connected with the civil war trauma, complicated her life and made the university a place of recovery after a difficult experience of losing the fatherland. The article sums up these very different points of view as an interesting collage of the university experiences.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.035 | 0.065 |
| Scholarly communication | 0.021 | 0.014 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".